
Medicare Ties AI Reimbursement to Patient Outcomes
A new federal payment model is forcing digital health companies to prove their tools actually heal patients, not just log clinical hours.
Discover the newest research about AI innovations in 🧠Mental Health.

A new federal payment model is forcing digital health companies to prove their tools actually heal patients, not just log clinical hours.

New research reveals that as digital therapy sessions drag on, artificial intelligence loses its ability to detect suicidal ideation, even as human clinicians remain perfectly sharp.

Electronic health records are failing vulnerable patients because standard billing codes ignore the messy reality of clinical notes.

Doctors write down clues about their patients’ loneliness, but those warnings usually sit buried in unstructured text where no one can find them.

When vulnerable teenagers turn to artificial intelligence for mental health advice, they are not finding a cure—they are finding a mirror that tells them what they want to hear.

The regulatory approval of a non-invasive brain stimulation headset for PTSD exposes a massive, decades-long stagnation in psychiatric drug development.

A new AI system identifies a reversible “pre-disease” window for depression, proving that treatment timing matters more than the tool itself.

A newly cleared neuromodulation system shifts PTSD treatment from trial-and-error pharmacology to personalized brain mapping.

A new study reveals how bad actors can quietly steer an AI’s medical advice without changing its code or prompts.

A new computational model uses a single brain scan to predict adolescent anxiety and depression before symptoms fully emerge.